Power-law species-area relationships and self-similar species distributions within finite areas

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F04%3A00012100" target="_blank" >RIV/00216208:11310/04:00012100 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11620/04:00012100
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Power-law species-area relationships and self-similar species distributions within finite areas
Original language description
The species-area relationship (SAR) is often expressed as a power-law, which indicates scale invariance. Although there have been attempts to attribute this feature to the self-similar spatial distribution of individual species, it has been claimed thatthis is unrealistic because the power law only emerges if distributions for all species have identical fractal dimensions. Here we show that even if species differ in their fractal dimensions, the resulting SAR can be approximately linear on a log-log scale because observed spatial distributions are inevitably spatially restricted a phenomenon we term the finite area effect. Using distribution atlases, we demonstrate that the apparent power-law of SARs for central European birds can be attributed to this finite-area effect affecting species that indeed reveal self-similar distributions. We discuss implications of this mechanism producing the SAR
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
EH - Ecology - communities
OECD FORD branch
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Publication year
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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